Java CLI Fractal Generator
For proper project documentation, refer here.
A Java fractal generator (currently UI-silent, with configuration through a file),
that implements display of custom functions,
with constant declaration processing, in Mandelbrot, Newton,Secant,Nova (both Mandelbrot and Julia types) and Julia
modes, and an experimental IFS/LS render system.
There are also Buddhabrot techniques ( naive algorithm ) for each of the above.
There are 36 different colouring schemes, 15 have linear interpolation, 17 have Catmull-Rom Spline interpolation and
2 which directly render in grayscale for emphasis on inner regions. The final is distance estimation based grayscale
or palette coloring, which is slow and has the same limitations as Newton/Nova mode as it uses the same mathematics
(symbolic differentiation) backend.
There's also an ASCII art output type, for, you know,
ComplexFractalGenerator
objects.
Degrees of functions are auto-calculated for use in calculating the renormalized iteration count.
The automatic degree calculation system has less issues with grouped operations, especially if considering division
or multiplication in the equation.
This calculation can be manually overriden after initializing the fractal generator with
setDegree(double)
of the
ComplexFractalGenerator
object in the
Test
class.
This could be made more accessible once a GUI is made.
Specifying a degree value in the configuration file will also override the calculation of the degree, which can be a
complex value.
Indexing of colours can be linear or logarithmic (which provides better results than sqrt scaling).
Colors can be interpolated directly or via their R, G and B components, or via their palette indices (in spline
interpolation only).
The spline-interpolant methods are the standard ones of Triangle Area Inequality, Curvature Average and Stripe
Average, as well as Histogram coloring (by extension Rank-Order mapping) and Color Distance Estimation,Orbit and
Line Traps and Gaussian Distance and Epsilon Cross, by default.
The linear interpolant methods have the 3 Newton fractal coloring modes, and the division and multiplication direct
and normalized coloring modes, and linear versions of the spline-interpolant methods,excepting distance estimation
and traps.
Resolution of the fractal is preferred to be in 2m+1x2n+1 format for proper symmetry.
Supported modes: Julia, Mandelbrot, Newton, Nova (both mandelbrot and Julia variants) and Secant, with Buddhabrot
technique variations available for each.
Newton/Nova fractal generator can handle simple polynomials with complex coefficients and exponents, but uses a
different input format:
{coefficient:variable:exponent};+ or -;{coefficient:variable:exponent},etc.
It can also handle simple transcendental functions like log,exp,sin,sinh,cos,cosh.
This is the input format:
polynomial;function;polynomial;constant|+ or -|polynomial;function;polynomial;constant,...
The 1st polynomial is the coefficient,the 2nd is the function argument.
The constant is optional.
{1:z:0};sin;{1:z:2};{f:z:0}
Standard expressions can have embedded conditionals of the form:
[ conditional ? result if conditional is true : result if conditional is false ]
This is similar to the Java ternary operator syntax, and all Java primitive comparisons are supported, except:
- The equality comparison is "=" instead of the Java "=="
- No boolean logic operations are available.
To get around this, use:
- Nested conditionals for Boolean AND
- Consecutive conditionals for Boolean OR
- I don't know of a workaround for Boolean XOR, but who uses it anyway?
Colorings currently available are based on:
- Simple mode: iteration count is used as a direct index into the palette (interpolation available as
SIMPLE_SMOOTH)
- Division of 0xffffffff by integer or fractional iteration count (interpolation available)
- Bit-shift mode with results similar to division by integer or fractional iteration count (interpolation
available)
- High contrast Grayscale mode
- Low Contrast Grayscale Mode
- Full custom or base-step, or linear- or spline-interpolated control points gradient palette mode by fractional
iteration
count (interpolation available)
- Randomized palette mode by fractional iteration count (interpolation available)
- Newton Mode - maximum modulus (linear or spline) or root reached
- Domain coloring- standard or faux on basis of lightness parameter
- Histogram Coloring (interpolation available)
- Rank-order color maping (interpolation available)
The final is distance estimation based grayscale or palette coloring, which is slow and has the same limitations as
Newton mode as it uses the same mathematics (symbolic differentiation) backend.
Support for IFS Affine Transform or function-based fractals or L-System ones such as the fern are in place.
Multithreading -- Available for complex number fractals and IFS fractals
(not including L-System ones and animations)! Use is encouraged, but memory requirements are a bit high.
More standard coloring methods are there, such as:
- Triangle Area Inequality
- Curvature Average
- Stripe Average
- Orbit and line traps (min.,max.,average)
- Gaussian Distance
- Epsilon Cross Distance
Also, these modes support Catmull-Rom Spline and linear interpolation.
These coloring methods will affect only the palette-based methods of colouring.
NOTES:
The fractal generator has the basic framework for being extensible and being multithreaded, and multithreading
works,
albeit being extremely resource intensive, requiring about a 20x increase in memory requirements for about a 10x
speedup during generation (12 threads). Also, there might be OOM errors in very intensive cases.
I still encourage people to use multithreading, with up to 14 threads (7*2).
Also,there is full support for zoom, but renders after zoom are slow for higher base precision values. As a thumb
rule, for quadrupling total resolution, double base precision for best results.
Default debug and progress is output to console, and the final image(s) are saved serially as
Fractal_no..png
(except for animated IFS and/or L-System fractals, which are output frame-by-frame into a folder) in the output
directory specified in the CMD arguments to the program.
There is also an included image viewer, which can also generate and display standard complex number fractals. Enable it with the
-v
command-line switch.
There is support for elementary image transitions from top, bottom, left and right in the viewer, again configurable.
However, saving of the fractal image and zooming in the viewer are both supported but untested.
All input to the application is currently handled by:
- Through a configuration file, whose path has to be specified as an argument while running the application
- Or use the pre-configured test shell script
Image and Fractal display configuration files are a stickler for format, but do support inline comments with "#", as in
.ini files.
I do not have much time for putting in documenting comments.
I'll put them in and update files as and when possible.


aa
bb
cc
Some text in the second column.
Some text in the second column.
Some text in the second column.


The Calculator Project
Calculator
Features
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Unfortunately your browser does not support the canvas element. Please update your browser or install another one (like Chromium, Firefox, Chrome or Internet Explorer) if your browser does not support HTML canvas.
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cos
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7
4
1
.
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Oct
9
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%
Dec
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By Mikhail Datoo
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#pandasSprint write-up
@page { margin: 2cm } p { margin-bottom: 0.25cm; line-height: 120% } a:link { so-language: zxx } The past 10th of March took place #pandasSprint. To the best of my knowledge, an unprecedented kind of event, where around 500 people worked together...


Batman is the best
Everyone else is worse
Home
Movie Batman
TV Batman
Video Game Batman
Follow him on twitter
Movie Batman
TV Batman
The Animated Series
Video Game Batman
The Arkham Series


Upload your network for review by selecting your file and providing information on which column is used for node, edge and network information


{% extends "base.html" %}
{% from 'search/result.html' import search_result %}
{% block title %}Home{% endblock %}
{% block content %}
Welcome to Odyssey SpeedTech!
Odyssey SpeedTech is a repository of speedrunning related video clips for Super Mario Odyssey. There are currently {{ clip_count }} clips in the database!
Recently added clips
{% for clip in clips %}
{{ search_result(clip, loop.index, show=loop.first) }}
{% endfor %}
{% endblock %}


This website sole purpose is to provide naming service to children born
It very simple to use ,meaning that you should put the child's birthday and it will
the day of the week the child was born, depending on their gender if they are male or female.
MALE CHILD
Sunday: Kwasi
Monday: Kwadwo
Tuesday: Kwabena
Wednesday: Kwaku
Thursday: Yaw
Friday: Kofi
Saturday: Kwame
You can find a name for your child by filling the form below then submit.


{% load otree staticfiles %}
This is a sort of chicken game with 2 players and an uncapped number of possible choices.
Both player prefer the opponent to take out the trash but lose out on rewards the longer the game drags on, when will you give in and take it out yourself?
The time in which the trash is taken out is the lower of the two chosen by the players, and the payoffs determined based on it. Whoever chose the smaller number will have to pay the tax, while the one who chose the bigger one is exempt from it. If both players choose to take out the trash then both pay half the tax
Initial Reward {{ Constants.reward }}
Tax {{ Constants.tax }}
Diminishing factor {{ Constants.diminishing_factor }}


View all the events you have subscribed here..
{{event.eventDescription}}
Subscribed for {{event.familySubscriptionDetails.childName}} on {{event.familySubscriptionDetails.createDate | date}}
View Subscription Details


Market Analysis
Bitcoin Price Diary: VET, XLM, TRX Double-Digit Gains — BTC Flatlines
by Scott MelkerAltcoins have continued to boom while Bitcoin (BTC) has effectively traded sideways. I closed the majority of my position in VeChain (VET) for a quick 60% profit and nailed my exit on Stellar Lumens (XLM) almost exactly at the top. I am once again long on Bitcoin from $8,375 and have stopped out in profit from a position on Tron (TRX).
Update on the Bitcoin position
I entered a fresh Bitcoin trade at $8,595 on November 12th. I took this position because I viewed a return to the previous trading range below price as unlikely and because there was a clear area of liquidity as shown by the green box shown below. This made this area a likely place for a bounce.
BTC USD 4 hour chart. Source: TradingView
Further, the price was showing a clear bullish divergence with the relative strength index on multiple time frames, and this area amounted to a 61.8% retracement, viewed by many as an ideal entry. All of this confluence made me confident in the position.
BTC USD 1 hour chart. Source: TradingView
BTC USD daily chart. Source: TradingView
As the price moved up, I also moved my stop loss to break even. I exited manually today at even (with fees), seeing that price action was weak and assuming a drop was likely. Fortunately, I escaped moments before Bitcoin dropped to the mid $8,300s. After the drop, I filled the first of a number of bids for a new long position on the resistance to support flip pictured below. I am presently back in at $8,375. I will continue to update this trade as it develops.
XBT USD hourly chart. Source: TradingView
TRX/BTC
Entries: .00000184 (sats), .00000210 (sats), .00000221 (sats)
Targets: .00000260 (sats) - .00000286 (sats), .00000304 (sats), .00000473 (sats)
Stop Loss: .00000159 (sats) for a potential13.5% loss at the first entry. I continued to move the stop up as price rose, ultimately to .00000219 (sats).
Entry Idea:
TRX has been one of the most profitable assets that I have ever traded, as I caught much of the now-famous move from under .00000020 (sats) to .00002000 (sats). I am always looking for entries and became interested again when it dropped below .00000200 (sats) in August. A massive descending channel was clear on the chart, likely to eventually break to the upside.
TRX BTC daily chart. Source: TradingView
TRX price formed a clear inverse head and shoulders pattern, so I took a small position on the breakout and local retest. I gave myself a comfortable stop loss, as the initial position was small so the risk of a larger percentage loss was minimized.
This is one of the benefits of entering a trade at numerous stages. My intention was to add to the position higher as I saw confirmation that a reversal was likely. As this happened, I trailed the stop loss up to below higher support levels. This went perfectly.
TRX BTC daily chart. Source: TradingView
I added to the position at .00000210 (sats) as illustrated below, and more recently at .00000221 (sats) as clear, fresh resistance levels flipped to support.
TRX BTC daily chart. Source: TradingView
TRX BTC 4 hour chart. Source: TradingView
How it worked out
TRX dropped quickly with Bitcoin today, hitting my stop loss for the entire position at .00000219 (sats). As mentioned earlier, I moved the stop loss up to the next support each time I entered. This amounted to an 8% overall gain on the entire position.
Closing the second XLM/BTC trade
Entry: .00000797 (sats)
Target: 0.00000940 (sats)
Stop loss: .00000781(sats)
Risk / reward: Target 1 = 8.94
Entry Idea
As mentioned in previous entries, this was effectively a second round of the same trade with the first retest of the .00000797 (sats) line on a larger time frame. I love taking long positions on the first major retest of a key resistance to support flip, so I was salivating for the opportunity to play this move.
XLM BTC 4 hour chart. Source: TradingView
Amazingly, the price wicked down to .00000782 (sats). My stop loss was sitting at .00000781 (sats), so I managed to stay in the trade by the thinnest of margins. Luckily, a more generous stop loss was justified, which is something I will consider on future trades. As you can see in the chart below, XLM price quickly made it to the target, piercing it with a wick and filling my asks. The price topped out at .00000942 (sats), only 2 sats above my sell orders. This elicited a quick 18% gain on the trade.
XLM BTC 4 hour chart. Source: TradingView
A 60% Profit on VET/BTC
Entry: .00000050 (sats)
Targets: 0.00000062 (sats), .00000080 (sats), .000000102 (sats)
Stop loss: .00000047 (sats)
Risk / reward: Target 1 = 4, Target 2 = 10, Target 3 = 17.33
Summary
I entered a position in VeChain at .00000050 (sats) after seeing it break both descending and horizontal resistance. The trade is detailed in the most recent journal entry. I had already taken a profit last week at .00000062 (sats) for a 24% gain with half of my position, letting 50% ride for the higher targets. As illustrated in the chart below, the altcoin’s price continued it’s vertical ascent and hit my second target at .00000080 (sats), for a quick gain of 60% on 40% of the position. I have kept 10% of the position open for a shot at the higher targets. At present, the price has reached .00000093 (sats). This was a spectacular trade that went my way quickly and without much risk.
VET BTC daily chart. Source: TradingView
Additional trades:
I remain in my position on Harmony (ONE). I also still hold positions in Dogecoin (DOGE) and Holo (HOT), which I will update when the price action details such an update as relevant.
The views and opinions expressed here are solely those of the (@scottmelker) and do not necessarily reflect the views of Cointelegraph. Every investment and trading move involves risk. You should conduct your own research when making a decision.


myApp
This is the module for myApp. It uses the dependencies: checklist-model, ngRoute, and ngResource


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Department of Advanced Science and Technology
University of Computer Studies
B.C.Sc/B.C.Tech. ( Four Year)
Computer Organization
Final Examination
Introduction to Embedded Systems(CT-403)
September, 2017
Zone III
Answer ALL Questions
Time allowed 3hours.


My junior year of high school (2016), I took a semester to intern at the Chicago Proton Center, which is a cutting-edge cancer research and treatment facility and one of only two dozen or so in the country. Under their direction, I aided them with desigining a series of plugins in Python that would aid them in sorting, searching, and acting upon the data of their patients. They were generally heavy on use of scientific Python libraries like pandas, numpy, etc. as well as regular expressions. In some form or another, my programming is likely still in use there to this day.
My Github can be found here for my personal projects.
Information


---
layout: post
title: via you have broken the internet inspiration
date: '2011-05-22T23:47:24+02:00'
tags: []
tumblr_url: http://dotmr.tumblr.com/post/5757261369/via-you-have-broken-the-internet-inspiration
---
(via [you_have_broken_the_internet]: Inspiration)
Haven’t found this one on Craigslist yet, but not for lack of effort.


so whats the other reason?
for elaborating on the second reason, you should first get familiar
with two different kind of logic used for describing products (in terms of programming them mainly):
micrologic
which is the kind of logic programmers understand and love. this is low-scope
logic, probably not specific to the application domain of the product. imagine a code
that sends an email, does a query in database, and greatly differs from
macrologic
which is the larger-scope logic of the product. think user journey, process analysis,
or however context a product designer/manager/owner/whatever might like to describe
the product. this goes far less into details, as this cares not for example on how
an email is sent, but that it does get sent after some specific thing happens.
based on my experience, mixing these two is the other key reason that developing
backend logic (which is most of the time the main product logic), or product logic in a more
general sense, is an expensive and time-consuming task. programmers are comfortable
doing micrologic, but when it comes to macrologic,
it falls upon product managers/designers or people responsible for that kind of thing in team.
they need to come up with a description that they cannot test since they cannot implement actually,
then they need to communicate that description to developers, subsequently developers need to
again describe their understanding of that description to machine language (whatever programming language they are using).
it is just then that the whole thing can be tested and iterated upon. miscommunications
easily make up for a lot of effort that goes in to this process, and generally it is rather
obvious why this is a lazy and time-consuming process.
so the idea here is to avert that. the CONNECT platform is not there
to replace traditional programming 100%. it is a tool for describing and easily testing
macrologic, so it naturally requires far less technical knowledge
than traditional programming and can be operated by people with little to no prior technical knowledge.
it also heavily relies on extensibility of native codes, as that is how the micrologic
gets injected and added to the logic.
interesting ...


{% load static from staticfiles %}
A smart algorithm sorts the task based on deadlines and priority. You will always have at the top of your list what you have to do.
(if you like you can switch to deadline or prioriy sorting)
Forget about multiple things to set. Write everything in the task input (top of the page), we do the rest.
Set priority using #p1 (max) to #p9 (min).
Set deadline that matters.
| Data | Shortcut | Meaning |
|---|---|---|
| Today | #td | Today |
| Tomorrow | #tm | Tomorrow |
| This week | #tw | Sunday of this week |
| Next week | #nw | Sunday of next week |
| This month | #tm | last day of the month |
| Next month | #nm | last day of next month |
Do more with pomodoro (25min + 5min of pause) and reminders!


Load a video with an infinite duration. Start playback and ensure video.currentTime < video.buffered.end(0) upon first timeupdate.


José Ramírez
Full-Stack Developer
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Liam is a graphic designer with a focus on branding, web design, and product/packaging design. In addition to being well versed in Adobe Creative Suite, Liam is a front-end developer with fluency in HTML, CSS, Bootstrap, Javascript and jQuery.
Liam's recent clients include: Bulltoro Watches, Upset Gentlemen, The Miami City Ballet, Teach For America Miami-Dade, ESPN, Dress For Success Miami, Robert K. Futterman & Associates, Terranova Corporation, Marriott, Hilton, and Disney's The Lion King Website.


Tianhong leads the industry in exploring innovative pension business
Tianhong has been leading the industry in innovation of pension business, one of its strategic business areas.
In October 2012, Tianhong launched Tianhong Ankang Pension Hybrid Securities Investment Fund, the first pension-themed fund in the industry.
In May 2015, Tianhong formally set up its second pension hybrid fund – Tianhong Puhui Pension Principal-guaranteed Hybrid Securities Investment Fund, aiming at meeting individual needs for pension-themed wealth management.
In June 2015, Tianhong, China Ageing Development Foundation, ICBC and Shanghai Denong Network jointly launched the first consumer pension plan in China.
As an innovative fund company with Internet thinking in China, Tianhong has been trying to remedy the defects of China’s pension system via the Internet, and provide better experience for the public by means of technology innovation.
In terms of product selection and customer service, Tianhong has been prepared for accepting the fund custody requests of basic pension insurance, national social security fund, enterprise annuity and occupational pension and developing and operating individual account products.
Established on Nov. 08, 2004, Tianhong Asset Management is one of the nationwide publicly offered fund management companies authorized by China Securities Regulatory Commissionwith registered capital of RMB 514.3 million Yuan. In 2013, Tianhong Asset Management promoted the first Internet fund – Yu’ebao, jointly with AliPay. As the fund manager of Yu’ebao, Tianhong Asset Management breaks a new ground for the Internet finance.


Boiding
An exploration in Boids.
What to expect
This book is used during the Boiding workshop. I allows you explore to Craig Reynold's boids that simulate flocking behavior of animals such as fish and birds.
But this is not a passive workshop. You get to explore the simulation by building it! We provide you with the background to understand the algorithm and a platform to explore the algorithm.
You will be implementing the brain of your own species of boids and seeing them flock on the big screen.
Background
In the following sections we will learn about the concepts behind Boids as introduced by Craig Reynolds. It will create a conceptual background that aids us in implementing the algorithm.
Boid
A boid is a virtual creatures, much like a bird or a fish. You should get attached to it, because we are going to spend a lot of time with them. We are going to teach it how to move gracefully among their siblings.
You might not know it, but you have probably seen our friend before. If you are familiar with movies like The Lion King or Batman returns, you have seen boids before. In The Lion King the stampede of wildebeests was created with a boid algorithm. The bats and also penguins were similar modeled in Batman returns.
Although the original boids moved in a three dimensional world, to keep things simple we are going to restrict the movement of our boids to two dimensions.
Characteristics
In this section we will provide an high level overview of the characteristics of our boid. These pertain to the simulation we are going to before, but feel free to attribute other characteristics.
Primary
The primary characteristics are the characteristics that one can measure. You can find them below.
Position
Maybe the most striking characteristic is the boids position. It keeps track of where the boid is. We describe it by two projects, i.e. the x coordinate and the y coordinate.
The world that the boids occupy wraps around on it self. This means that it doesn't have edges. If a boid moves off the right side of the world it enters on the left side of the world and vice versa. Similar for the top and bottom of the world.
Heading
An other characteristic of a boid is its heading, i.e. The angle it is pointing in. These angles are measured in radians and have a range of \(-\pi\) to \(+\pi\). When the boid is pointing to the right she has a heading of 0.
Speed
The speed measures how fast the boid is going. Together with the heading this makes up the velocity.
Secondary
The secondary characteristics are used in the simulation, but are less apparent than the primary characteristic.
Intended Heading
This is the heading your boid would like to have. It could differ from the primary heading and is used to steer the boid in order to avoid collisions or signal preferred direction.
Intended Speed
Like the intended heading, this is the speed the boid would want to move in.
Agility
The agility determines how quickly the boid can go from the primary heading and primary speed, i.e. the primary velocity, to the intended heading and intended speed. Changing course takes times and that is reflected in this value. It ranges from 0 to 1 where 0 represents a total inability to change velocity and 1 represents the ability to instantly change course.
Influence Sphere
This is the area in which other boids are sensed an as a result interacted with. It is a circle centered at the position of the boid and measured by a radius.
Separation
One of the classic motivations for our boid is separation. Steer clear from your budding boids to minimize the chances of collisions.
Alignment
Aligning yourself in the average heading of your cohort is an other motivation.
Cohesion
Predators attack on the outside of your cohort. It motivates boids to move to the center of the flock.
Plan
We will go over the high level plan for this workshop. We will detail all the moving parts and how they interact.
We will ask you to team up. Working in pairs has the added benefit that you can learn from each other. Your team is responsible for creating a web server that has the responsibility to answer the question what your boid wants to do. You will register your web server to the workshop server. The workshop server is responsible for coordinating the boids brains (your web servers) and the boids behavior (the simulation).
If this sounds daunting, relax. We went to great lengths to make this a joyous, interesting and stimulating workshop.
WLAN
We setup a Wireless Local Area Network (WLAN) so that the computer participating in the workshop can find each other without a trouble. Look for a network with the following credentials
- SSID: boiding_workshop
- password: 2boid||!2boid
Starter Kits
We prepared starter kits in various languages. You can find them in the workshop material. Copy the starter of your choice and get ready to teaching your boids.
Your web server should listen on port 2643 which spells boid a phones keypad. Your starter kits already make this happen.
Register Your Server
The workshop server should be come aware of your web server. Each start kit has a automated way to register itself. See the README in your starter kit how the specific registration works.
Teach Your Boids
This is were you are able to shine. Teach your boids in a way you see fit. The README in the starter kit of your choice will point you in the right direction.
Run The Server
Running your server allows your boids to roam free in their habitat and follow the path you thought them to follow.
Material
If you find yourself at an actual boiding workshop the material for this workshop is made available on a thumb drive. Grab one from the copy it to your own machine.
The material was created with
material repository. You should be able
to create your own workshop resources by cloning that repository and running the
make
command.
> git clone https://github.com/boiding/material.git
> cd material
> make
References
Websites
- Craig Reynold's homepage.
- Craig Reynold's page on Boids.
Videos
- Video of murmuration of Starlings.
- An other murmuration.
- Shoal of fish.
- Fish swarming.
- Flock of sheep
- Another flock of sheep


SVG to STL conversion
This tool has been developped within ACTIVmap project to convert 2D images into meshes for 3D printing. The main goal is to provide an easy-to-use way to generate 3D maps for people with visual impairment.
This tool has been developped within ACTIVmap project to convert 2D images into meshes for 3D printing. The main goal is to provide an easy-to-use way to generate 3D maps for people with visual impairment.


Classes
AbstractPhysicalMachine
Blade
BladeLocatorLed
Datacenter
Datacenter.Builder
Datastore
Fsm
LogicServer
Machine
Machine.Builder
ManagedRack
ManagedRack.Builder
Organization
Rack
Rack.Builder
RemoteService
RemoteService.Builder
StorageDevice
StorageDevice.Builder
StorageDeviceMetadata
StoragePool
StoragePool.Builder
Tier |


First Look: COIPEL, KUDER, SORRENTINO, WALTA, EPTING Join in on JASON AARON's Thor Finale KING THOR #4
by Newsarama StaffJason Aaron's Thor run ends December 18 with King Thor #4 - and we have a preview.
KING THOR #4 (OF 4)
JASON AARON (W) • Esad Ribi?, Chris Burnham, Olivier Coipel, Russell Dauterman, Mike del Mundo, Aaron Kuder, Nick Pitarra, Andrea Sorrentino and Gabriel H. Walta (A)
COVER BY ESAD RIBIC
VARIANT COVER BY MIKE DEL MUNDO
VARIANT COVER BY STEVE EPTING
THE FINAL CHAPTER OF THE YEARS-SPANNING, AWARD-WINNING SAGA!
The sun has gone black. Midgard isn’t far behind. The entire Multiverse is dying — and with it, the last of the gods. A millennium ago, the God of Thunder heard a whisper: “Gorr was right.” Now Gorr the God of God-Butchers ascends to his final murder: the All-Father of all existence. Plus, a who’s who of Jason’s past THOR collaborators and a few surprise guests help close out the story in thunderous style!
56 PGS./Rated T+ …$5.99


%include file="../header_inc_v4.html" />
POSX - Report A Problem
- All -
%for k,v in TICKET_TYPES.items():
${v|h}
%endfor


|
Files | |
| file | HDMMUX-driver.h |
Holit Data Systems Motor MUX driver. | |
Defines | |
| #define | HDMMUX_I2C_ADDR 0x02 |
| #define | HDMMUX_CMD_MOTOR 0x01 |
| #define | HDMMUX_CMD_ADDRCHNG 0x02 |
| #define | HDMMUX_CMD_RST_TACH_A 0x03 |
| #define | HDMMUX_CMD_RST_TACH_B 0x04 |
| #define | HDMMUX_CMD_RST_TACH_C 0x05 |
| #define | HDMMUX_MOTOR_A 0x01 |
| #define | HDMMUX_MOTOR_B 0x02 |
| #define | HDMMUX_MOTOR_C 0x03 |
| #define | HDMMUX_MOTOR_OTHER 0x04 |
| #define | HDMMUX_MOTOR_RIGHT 0x02 |
| #define | HDMMUX_MOTOR_LEFT 0x00 |
| #define | HDMMUX_ROT_FORWARD (0x01 << 6) |
| #define | HDMMUX_ROT_REVERSE (0x02 << 6) |
| #define | HDMMUX_ROT_STOP (0x03 << 6) |
| #define | HDMMUX_ROT_CONSTSPEED (0x01 << 4) |
| #define | HDMMUX_ROT_RAMPUP (0x02 << 4) |
| #define | HDMMUX_ROT_RAMPDOWN (0x03 << 4) |
| #define | HDMMUX_ROT_UNLIMITED (0x00 << 2) |
| #define | HDMMUX_ROT_DEGREES (0x01 << 2) |
| #define | HDMMUX_ROT_ROTATIONS (0x02 << 2) |
| #define | HDMMUX_ROT_SECONDS (0x03 << 2) |
| #define | HDMMUX_ROT_POWERCONTROL (0x01 << 1) |
| #define | HDMMUX_ROT_BRAKE 0x01 |
| #define | HDMMUX_ROT_FLOAT 0x00 |
Functions | |
| void | HDMMUXinit () |
| bool | HDMMUXreadStatus (tSensors link, byte &motorStatus, long &tachoA, long &tachoB, long &tachoC) |
| bool | HDMMUXsendCommand (tSensors link, ubyte mode, ubyte channel, ubyte rotparams, long duration, byte power, byte steering) |
| bool | HDMMotor (tMUXmotor muxmotor, byte power) |
| bool | HDMotorStop (tMUXmotor muxmotor) |
| bool | HDMotorStop (tMUXmotor muxmotor, bool brake) |
| void | HDMMotorSetRotationTarget (tMUXmotor muxmotor, float rottarget) |
| void | HDMMotorSetTimeTarget (tMUXmotor muxmotor, float timetarget) |
| void | HDMMotorSetEncoderTarget (tMUXmotor muxmotor, long enctarget) |
| long | HDMMotorEncoder (tMUXmotor muxmotor) |
| bool | HDMMotorEncoderReset (tMUXmotor muxmotor) |
| bool | HDMMotorEncoderResetAll (tSensors link) |
| bool | HDMMotorBusy (tMUXmotor muxmotor) |
| void | HDMMotorSetBrake (tMUXmotor muxmotor) |
| void | HDMMotorSetFloat (tMUXmotor muxmotor) |
| void | HDMMotorSetSpeedCtrl (tMUXmotor muxmotor, bool constspeed) |
| void | HDMMotorSetRamping (tMUXmotor muxmotor, ubyte ramping) |
Variables | |
| tByteArray | HDMMUX_I2CRequest |
| tByteArray | HDMMUX_I2CReply |
Holit Data Systems Motor MUX
| #define HDMMUX_CMD_ADDRCHNG 0x02 |
Definition at line 57 of file HDMMUX-driver.h.
| #define HDMMUX_CMD_MOTOR 0x01 |
Definition at line 56 of file HDMMUX-driver.h.
| #define HDMMUX_CMD_RST_TACH_A 0x03 |
Definition at line 58 of file HDMMUX-driver.h.
| #define HDMMUX_CMD_RST_TACH_B 0x04 |
Definition at line 59 of file HDMMUX-driver.h.
| #define HDMMUX_CMD_RST_TACH_C 0x05 |
Definition at line 60 of file HDMMUX-driver.h.
| #define HDMMUX_I2C_ADDR 0x02 |
HDMMUX I2C device address
Definition at line 53 of file HDMMUX-driver.h.
| #define HDMMUX_MOTOR_A 0x01 |
Definition at line 63 of file HDMMUX-driver.h.
| #define HDMMUX_MOTOR_B 0x02 |
Definition at line 64 of file HDMMUX-driver.h.
| #define HDMMUX_MOTOR_C 0x03 |
Definition at line 65 of file HDMMUX-driver.h.
| #define HDMMUX_MOTOR_LEFT 0x00 |
Definition at line 69 of file HDMMUX-driver.h.
| #define HDMMUX_MOTOR_OTHER 0x04 |
Definition at line 67 of file HDMMUX-driver.h.
| #define HDMMUX_MOTOR_RIGHT 0x02 |
Definition at line 68 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_BRAKE 0x01 |
Definition at line 87 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_CONSTSPEED (0x01 << 4) |
Definition at line 76 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_DEGREES (0x01 << 2) |
Definition at line 81 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_FLOAT 0x00 |
Definition at line 88 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_FORWARD (0x01 << 6) |
Definition at line 72 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_POWERCONTROL (0x01 << 1) |
Definition at line 85 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_RAMPDOWN (0x03 << 4) |
Definition at line 78 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_RAMPUP (0x02 << 4) |
Definition at line 77 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_REVERSE (0x02 << 6) |
Definition at line 73 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_ROTATIONS (0x02 << 2) |
Definition at line 82 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_SECONDS (0x03 << 2) |
Definition at line 83 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_STOP (0x03 << 6) |
Definition at line 74 of file HDMMUX-driver.h.
| #define HDMMUX_ROT_UNLIMITED (0x00 << 2) |
Definition at line 80 of file HDMMUX-driver.h.
| bool HDMMotor | ( | tMUXmotor | muxmotor, |
| byte | power | ||
| ) |
Run motor with specified speed.
| muxmotor | the motor-MUX motor |
| power | power the amount of power to apply to the motor, value between -100 and +100 |
Definition at line 205 of file HDMMUX-driver.h.
| bool HDMMotorBusy | ( | tMUXmotor | muxmotor ) |
Check if the specified motor is running or not.
| muxmotor | the motor-MUX motor |
Definition at line 390 of file HDMMUX-driver.h.
| long HDMMotorEncoder | ( | tMUXmotor | muxmotor ) |
Fetch the current encoder value for specified motor channel
| muxmotor | the motor-MUX motor |
Definition at line 321 of file HDMMUX-driver.h.
| bool HDMMotorEncoderReset | ( | tMUXmotor | muxmotor ) |
Reset target encoder for specified motor channel, use only at the start of your program. If you are using the standard NXT wheels you will not run into problems with a wrap-around for the first 500kms or so.
| muxmotor | the motor-MUX motor |
Definition at line 348 of file HDMMUX-driver.h.
| bool HDMMotorEncoderResetAll | ( | tSensors | link ) |
Reset all encoders on the specified motor-MUX. Use only at the start of your program. If you are using the standard NXT wheels you will not run into problems with a wrap-around for the first 500kms or so.
| link | the MMUX port number |
Definition at line 370 of file HDMMUX-driver.h.
| void HDMMotorSetBrake | ( | tMUXmotor | muxmotor ) |
Set the stopping method for the specified motor to brake.
| muxmotor | the motor-MUX motor |
Definition at line 411 of file HDMMUX-driver.h.
| void HDMMotorSetEncoderTarget | ( | tMUXmotor | muxmotor, |
| long | enctarget | ||
| ) |
Set encoder target for specified mux motor.
| muxmotor | the motor-MUX motor |
| enctarget | the encoder target value in degrees. |
Definition at line 309 of file HDMMUX-driver.h.
| void HDMMotorSetFloat | ( | tMUXmotor | muxmotor ) |
Set the stopping method for the specified motor to float.
| muxmotor | the motor-MUX motor |
Definition at line 421 of file HDMMUX-driver.h.
| void HDMMotorSetRamping | ( | tMUXmotor | muxmotor, |
| ubyte | ramping | ||
| ) |
Set the motor ramping type the specified motor. ramping can be one of
| muxmotor | the motor-MUX motor |
| ramping | the type of ramping to be used |
Definition at line 447 of file HDMMUX-driver.h.
| void HDMMotorSetRotationTarget | ( | tMUXmotor | muxmotor, |
| float | rottarget | ||
| ) |
Set rotation target for specified mux motor. Rotations can be specified in increments of 0.01. To rotate the motor 10.54 degrees, specify a value of 10.54.
| muxmotor | the motor-MUX motor |
| rottarget | the rotation target value |
Definition at line 282 of file HDMMUX-driver.h.
| void HDMMotorSetSpeedCtrl | ( | tMUXmotor | muxmotor, |
| bool | constspeed | ||
| ) |
Set the motor speed control for the specified motor.
| muxmotor | the motor-MUX motor |
| constspeed | whether or not to use speed control |
Definition at line 432 of file HDMMUX-driver.h.
| void HDMMotorSetTimeTarget | ( | tMUXmotor | muxmotor, |
| float | timetarget | ||
| ) |
Set time target for specified mux motor. Seconds can be specified in increments of 0.01. To rotate the motor for 10.21 seconds, specify a value of 10.21.
| muxmotor | the motor-MUX motor |
| timetarget | the time target value in seconds. |
Definition at line 296 of file HDMMUX-driver.h.
| void HDMMUXinit | ( | ) |
Definition at line 115 of file HDMMUX-driver.h.
| bool HDMMUXreadStatus | ( | tSensors | link, |
| byte & | motorStatus, | ||
| long & | tachoA, | ||
| long & | tachoB, | ||
| long & | tachoC | ||
| ) |
Read the status of the motors and tacho counts of the MMUX
motorStatus is made of 3 bits, 1: motor is running, 0: motor is idle
bit 0: motor A
bit 1: motor B
bit 2: motor C
| link | the MMUX port number |
| motorStatus | status of the motors |
| tachoA | Tacho count for motor A |
| tachoB | Tacho count for motor B |
| tachoC | Tacho count for motor C |
Definition at line 143 of file HDMMUX-driver.h.
| bool HDMMUXsendCommand | ( | tSensors | link, |
| ubyte | mode, | ||
| ubyte | channel, | ||
| ubyte | rotparams, | ||
| long | duration, | ||
| byte | power, | ||
| byte | steering | ||
| ) |
Send a command to the MMUX.
Note: this is an internal function and shouldn't be used directly
| link | the MMUX port number |
| mode | the mode the MMX should operate in, controlling motors, resetting tachos or settings new address |
| channel | the motors the command applies to |
| rotparams | the additional parameters that make up the command |
| duration | the number of units (can be seconds, rotations or degrees) the command should be run for |
| power | the amount of power to be applied to the motor(s) |
| steering | used for syncronised movement to control the amount of steering |
Definition at line 179 of file HDMMUX-driver.h.
| bool HDMotorStop | ( | tMUXmotor | muxmotor, |
| bool | brake | ||
| ) |
Stop the motor. This function overrides the preconfigured braking method.
| muxmotor | the motor-MUX motor |
| brake | when set to true: use brake, false: use float |
Definition at line 257 of file HDMMUX-driver.h.
| bool HDMotorStop | ( | tMUXmotor | muxmotor ) |
Stop the motor. Uses the brake method specified with HDMMotorSetBrake or HDMMotorSetFloat. The default is to use braking.
| muxmotor | the motor-MUX motor |
Definition at line 233 of file HDMMUX-driver.h.
Array to hold I2C reply data
Definition at line 91 of file HDMMUX-driver.h.
Array to hold I2C command data
Definition at line 90 of file HDMMUX-driver.h.


See where your friends are working!
Before you can delete your account, you must first withdraw all your active job applications
Are you sure want to unlink your Jobstreet.com Account with Facebook?


goeckeler.comHello and welcome to the private homepage of the Göckeler family. This site is intended for our friends and relatives - who live in Germany, England, the USA, and many other countries. If the idea to visit us may cross their mind, this is the place to look for directions and stuff. Well, and as we are a family now, this is of course the place for all the cute baby pictures. Of course everyone is invited to browse our site. Feel free. May-be one or the other is inclined to write us an email, and if it just to tell us how impressive this homepage is ;-) |
Sunday, July 18th, 2004New provider, more space, more pictures. And all pages also in English. Hope you like the new layout. Wednesday, March 3rd, 2004Something new from time to time. In this case we uploaded some pictures of Timo. Not too many though, as we have not enough available webspace. You want to see them? Just go to the gallery. |


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ActionBarSherlock is an extension of the compatibility library designed to facilitate the use of the action bar design pattern across all versions of Android with a single API.
The library will automatically use the native action bar when available or will automatically wrap a custom implementation around your layouts. This allows you to easily develop an application with an action bar for every version of Android back through 1.6.
Interaction with the action bar is provided through a single API by calling getSupportActionBar()
. The methods provided by this interface mirror those of the native action bar exactly.
Enabling support is as simple as extending your activities from FragmentActivity
and declaring a theme in your manifest file.
A single theme can be used to style the action bar to match the look and feel of your application.
If you need to customize the look for a phone or tablet, Android's powerful resource filtering can still be leveraged.
View screenshots and descriptions of the three sample applications which are bundled with the project as well as open source applications who chose to implement the library.
Each project links to its source so you can investigate their code for reference.
Mobile interface to the world's largest source for information on craft beer: RateBeer.
Manage the progress of (re-)watching your favorite TV shows. Keep track of which episodes you still have to watch or which ones are upcoming.
Group items according to labels and create fully customizable folders and widgets. You can organize apps, bookmarks, contacts and shortcuts.


In A Flash
~ Capturing the beat of the moment ~
Description
In a flash is a photography event where the participants will have to choose a particular theme and click a picture. Enter this free online photography competition to mark your talent. Photograpy is not just a word its an art, its an emotion for creators of all kinds. So take up this opportunity to portray your talent in a better way possible.
Themes
Rules & Regulations
- ● Basic editing, including color enhancement, the use of filters and cropping of the photo is acceptable, provided any such editing does not affect the authenticity and/or genuineness of the photo.
- ● Photo submitted must be photographer’s own work. In order to verify that, we require the participants to attach a video (3-5 seconds) of the object/scene that is captured.
- ● Participants are requested to send the photo and video on or before 24/06/2021. Responses sent after 24th June will not be validated.
- ● It is an individual event.
- ● Top 3 winners will be chosen by the judge and they will be awarded elite certificates
- ● E-Mail Your responses to mail id given below.
Contacts
For Further Queries Contact :Rithi Natchatra C : +91<PHONE_NUMBER>
E-Mail : crescitainaflash21@gmail.com


This backslash+linefeed is literal. Break outside single quotes if you just want to break the line.
(This warning was retired after 0.7.2 due to low signal-to-noise ratio)
var='This is long \
piece of text'
var='This is a long '\
'piece of text'
You have a single quoted string containing a backslash followed by a linefeed (newline). Unlike double quotes or unquoted strings, this has no special meaning. The string will contain a literal backslash and a linefeed.
If you wanted to break the line but not add a linefeed to the string, stop the single quote, break the line, and reopen it. This is demonstrated in the correct code.
If you wanted to break the line and also include the linefeed as a literal, you don't need a backslash:
var='This is a multi-line string
with an embedded linefeed'
If you do want a string containing a literal backslash+linefeed combo, such as with sed
, you can [[ignore]] this warning.


That's it.

 There's nothing else down here.
Seriously...Fuck!

Oh man, what if there really is something else down here...
Oh fuck! There's totally more!

Applesauce?


--- layout: default ---
Matterhorn is web-based project management tool that I have been involved in designing and building over the past year.
Matterhorn has had multiple iterations based on internal and external user testing and feedback. I studied user behaviours and preferences to define and refine the core features and functionalities of the product. I have also been involved in the planning around it’s recent launch including marketing strategy, copywriting and designing the landing page.


Refcode is a community as much as it is anything else. The connections you make are as important to what we do as any may teach. We hope you will join as ready to learn as you teach, as ready to receive as you are to give.
Once we recieve your application you may need to participate in a few training or onbording sessions, depending on which role you are interested in.
You may want to explore the various ways to volunteer at our volunteer opportunities page before filling out this form.
The application form is located at: https://internal.refcode.org/volunteer


Constructor
new Dispatch This is the main class that will be the entry point into dispatch. You can initalize this class with your API Key()
- Source:
This is the main class that will be the entry point into dispatch. You can initalize this class with your API Key.


Rank Structure
Prerequisites, Duties & Privileges
Basic Responsibilities:
- Conduct yourself in accordance with our Rules & Regulations
- Vote daily for the community on armaclans.com
- Read news in Community Announcements
- Meet minimum attendance ratio of 1 event per 2 months. If that ratio cannot be fulfilled, Leave of Absence (LoA) needs to be requested
Recruit [Rec]
Prerequisites:
- Minimum age for membership is 21+
- Following time zones are accepted: from UTC-2 to UTC+3
- Members must own a legit copy of Arma 3
- Having a working microphone and intermediate English skills are required
- Has filled out an application on the website
- Has completed the recruitment interview
NOTE: Rare exceptions are possible for Recruits between the age of 18-20 if their application is evaluated convincing enough.
Duties:
- Basic Responsibilities.
- Completes the Checklist for Recruits
- Successfully pass Basic Qualification Form within 8 weeks of joining the community
- Has to attend at least 5 events within 8 weeks of joining the community
Privileges:
- Can attend events (requires completed Mod Assessment)
Reservist [Res]
Prerequisites:
- Has successfully completed Basic Qualification Form - if Recruit
- Is a Carpe Noctem Alumni rejoining the community - rare case
- On events has shown esprit de corps
Duties:
Privileges:
- Can vote in official community polls
- Can attend monthly Staff Meeting and Q&A
Grunt [Gnt]
Prerequisites:
- Has attended 1/3rd of events in last 2 month period. - recurring
Duties:
- Basic Responsibilities
- Promote community ethos
Privileges:
- Gets to pick player slots before Reservists
- Can vote in official community polls
- Can attend monthly Staff Meeting and Q&A
Specialist [SPC]
Prerequisites:
- Has the time and the enthusiasm to do organisational work
- Is reliable and dedicated in his work
- Is elected by SSgt
Duties:
- Basic Responsibilities
- Fulfills tasks and duties assigned by SSgt which may include:
- Managing an administrative squad
- Managing a Branch
- Other various tasks which require special permission level
Staff Absences:
- Inform about absence in advance so projects can be continued
- If a staff member can not perform his duties for up to 6 weeks, another staff member will take over the duties for the time being
- If a staff member can not perform his duties for longer than 6 weeks, a replacement will be found for him
Privileges:
- Gets to pick player slots before Reservists & Grunts
- Can vote in official community polls
- Can attend monthly Staff Meeting and Q&A
Staff Sergeant [SSgt]
Prerequisites:
- Has the time and the enthusiasm to do organisational work
- Is reliable and dedicated in his work
- Is in it for the long haul
Duties:
- Basic Responsibilities
- Attends Staff Meetings
- Supervises, guides and helps all Staff members
- Makes sure the esprit de corps and the ethos of the community is not compromised
- Meet on weekly basis to share updates and develop ongoing and future projects
- Counsels with community members about developments of the community to get their point of view and feedback
Privileges:
- Gets to pick player slots before Reservists & Grunts
- Can vote in official community polls
- Can vote on final decisions concerning the communities visions and overall strategy
Contributor Tag
Prerequisites:
- Agrees to donate $2.5.- a month for 6 months in advance, amount due: $15.- (Bronze)
- Agrees to donate $5.- a month for 6 months in advance, amount due: $30.- (Silver)
- Agrees to donate $10.- a month for 6 months in advance, amount due: $60.- (Gold)
If a member wishes to donate but can't afford $15.-, $30.- or $60.- in one payment, we advise to save up until he can make the single payment. This lowers administrative work for the community and eliminates potential scenarios where we have to run after promised donations on a monthly basis. Members can always donate more than $60.- but we can't offer them any additional rewards for doing so.
Privileges:
- Unlock unique tag on TeamSpeak and the website
- Will be named in a "thank you" post on the website
- Access to CNTO Trello workflow
Interviewing
Prerequisites:
- Is mature and has good people skills
- Has good technical knowledge to resolve common problems
Duties:
- Answers any inquiries of guest on TS
- Arranges and conducts interviews with applicants
- Introduce recruits to our modset
- Helps Recruits and troubleshoots technical difficulties
Mission Making
Prerequisites:
- Has basic understanding of making Arma 3 missions
Duties:
- Prepares and hosts official Coop or PvP missions
Research & Development
Prerequisites:
- Has advanced understanding of Arma 3 and underlying code
Duties:
Does at least on of the following:
- Works on development of CNTO templates
- Researches and tests potential modset additions
- Ensures quality and performance of the modset
Training
Prerequisites:
- Is mature and has good people skills
- Has experience in game and is willing to teach others
- Has good knowledge of the ShackTac Guide
Duties:
- Prepares and hosts training or qualification sessions
- Assists in training or qualification sessions
Web Design
Prerequisites:
- Is proficient with HTML, CSS, Javascript, Python or other web oriented languages
Duties:
- Maintains cisual clarity of the website
- Helps extending and improving website functionality
NOTE: One can be both Web Designer and Graphic Designer or can specialize in one of the two


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Optimally robust estimation for extreme value distributions using S4 classes and
methods (based on packages 'distr', 'distrEx', 'distrMod', 'RobAStBase', and
'ROptEst').
| Version: |
1.1.0 |
| Depends: |
R (≥ 2.14.0), methods, distrMod (≥ 2.7.0), ROptEst (≥ 1.1.0), robustbase, evd |
| Imports: |
RobAStRDA, distr, distrEx, RandVar, RobAStBase, startupmsg, actuar |
| Suggests: |
RUnit (≥ 0.4.26), ismev (≥ 1.39) |
| Published: |
2018-08-03 |
| Author: |
Nataliya Horbenko [aut, cph],
Bernhard Spangl [ctb] (contributed smoothed grid values of the Lagrange
multipliers),
Sascha Desmettre [ctb] (contributed smoothed grid values of the
Lagrange multipliers),
Eugen Massini [ctb] (contributed an interactive smoothing routine for
smoothing the Lagrange multipliers and smoothed grid values of the
Lagrange multipliers),
Daria Pupashenko [ctb] (contributed MDE-estimation for GEV distribution
in the framework of her PhD thesis 2011--14),
Gerald Kroisandt [ctb] (contributed testing routines),
Matthias Kohl [aut, cph],
Peter Ruckdeschel [cre, aut, cph] |
| Maintainer: |
Peter Ruckdeschel <peter.ruckdeschel at uni-oldenburg.de> |
| License: |
LGPL-3 |
| URL: |
http://robast.r-forge.r-project.org/ |
| NeedsCompilation: |
yes |
| Citation: |
RobExtremes citation info |
| Materials: |
NEWS |
| CRAN checks: |
RobExtremes results |


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| MATLAB File Help: prtPreProcZeroMeanRows |
prtPreProcZeroMeanRows Zero mean observations (rows) ZM = prtPreProcZeroMeanRows creates an object that removes the mean from each row (observation) of a data set. prtPreProcZeroMeanRows has no user settable properties. A prtPreProcZeroMeanRows object also inherits all properties and functions from the prtAction class. Example: dataSet = prtDataGenIris; % Load a data set dataSet = dataSet.retainFeatures(1:3); % Use only the first 3 features zmr = prtPreProcZeroMeanRows; % Create a % prtPreProcZeroMeanRows object zmr = zmr.train(dataSet); % Train dataSetNew = zmr.run(dataSet); % Run % Plot subplot(2,1,1); plot(dataSet); subplot(2,1,2); plot(dataSetNew);
| Superclasses | prtPreProc |
| Sealed | false |
| Construct on load | false |
| prtPreProcZeroMeanRows | Zero mean observations (rows) |
| dataSet | The training prtDataSet, only stored if verboseStorage is true. |
| dataSetSummary | Structure that summarizes prtDataSet. |
| isCrossValidateValid | True |
| isSupervised | False |
| isTrained | Indicates if prtAction object has been trained. |
| name | Zero-Mean Rows |
| nameAbbreviation | ZMR |
| showProgressBar | |
| userData | User specified data |
| verboseStorage | Specifies whether or not to store the training prtDataset. |
| crossValidate | Cross validate prtAction using prtDataSet and cross validation keys. | |
| get | get the object properties | |
| kfolds | Perform K-folds cross validation of prtAction | |
| optimize | Optimize action parameter by exhaustive function maximization. | |
| run | Run a prtAction object on a prtDataSet object. | |
| set | set the object properties | |
| train | Train a prtAction object using training a prtDataSet object. |


Introduction
LLDB has been structured from the beginning to be scriptable in two ways -- a Unix Python session can initiate/run a debug session non-interactively using LLDB; and within the LLDB debugger tool, Python scripts can be used to help with many tasks, including inspecting program data, iterating over containers and determining if a breakpoint should stop execution or continue. This document will show how to do some of these things by going through an example, explaining how to use Python scripting to find a bug in a program that searches for text in a large binary tree.
The Test Program and Input
We have a simple C program (dictionary.c) that reads in a text file, and stores all the words from the file in a Binary Search Tree, sorted alphabetically. It then enters a loop prompting the user for a word, searching for the word in the tree (using Binary Search), and reporting to the user whether or not it found the word in the tree.
The input text file we are using to test our program contains the text for William Shakespeare's famous tragedy "Romeo and Juliet".
The Bug
When we try running our program, we find there is a problem. While it successfully finds some of the words we would expect to find, such as "love" or "sun", it fails to find the word "Romeo", which MUST be in the input text file:
% ./dictionary Romeo-and-Juliet.txt
Dictionary loaded.
Enter search word: love
Yes!
Enter search word: sun
Yes!
Enter search word: Romeo
No!
Enter search word: ^D
%
Is the word in our tree: Using Depth First Search
Our first job is to determine if the word "Romeo" actually got inserted into the tree or not. Since "Romeo and Juliet" has thousands of words, trying to examine our binary search tree by hand is completely impractical. Therefore we will write a Python script to search the tree for us. We will write a recursive Depth First Search function that traverses the entire tree searching for a word, and maintaining information about the path from the root of the tree to the current node. If it finds the word in the tree, it returns the path from the root to the node containing the word. This is what our DFS function in Python would look like, with line numbers added for easy reference in later explanations:
1: def DFS (root, word, cur_path):
2: root_word_ptr = root.GetChildMemberWithName ("word")
3: left_child_ptr = root.GetChildMemberWithName ("left")
4: right_child_ptr = root.GetChildMemberWithName ("right")
5: root_word = root_word_ptr.GetSummary()
6: end = len (root_word) - 1
7: if root_word[0] == '"' and root_word[end] == '"':
8: root_word = root_word[1:end]
9: end = len (root_word) - 1
10: if root_word[0] == '\'' and root_word[end] == '\'':
11: root_word = root_word[1:end]
12: if root_word == word:
13: return cur_path
14: elif word < root_word:
15: if left_child_ptr.GetValue() == None:
16: return ""
17: else:
18: cur_path = cur_path + "L"
19: return DFS (left_child_ptr, word, cur_path)
20: else:
21: if right_child_ptr.GetValue() == None:
22: return ""
23: else:
24: cur_path = cur_path + "R"
25: return DFS (right_child_ptr, word, cur_path)
Accessing & Manipulating Program Variables in Python
Before we can call any Python function on any of our program's variables, we need to get the variable into a form that Python can access. To show you how to do this we will look at the parameters for the DFS function. The first parameter is going to be a node in our binary search tree, put into a Python variable. The second parameter is the word we are searching for (a string), and the third parameter is a string representing the path from the root of the tree to our current node.
The most interesting parameter is the first one, the Python variable that needs to contain a node in our search tree. How can we take a variable out of our program and put it into a Python variable? What kind of Python variable will it be? The answers are to use the LLDB API functions, provided as part of the LLDB Python module. Running Python from inside LLDB, LLDB will automatically give us our current frame object as a Python variable, "lldb.frame". This variable has the type "SBFrame" (see the LLDB API for more information about SBFrame objects). One of the things we can do with a frame object, is to ask it to find and return its local variable. We will call the API function "FindVariable" on the lldb.frame object to give us our dictionary variable as a Python variable:
root = lldb.frame.FindVariable ("dictionary")
The line above, executed in the Python script interpreter in LLDB, asks the
current frame to find the variable named "dictionary" and return it. We then
store the returned value in the Python variable named "root". This answers the
question of HOW to get the variable, but it still doesn't explain WHAT actually
gets put into "root". If you examine the LLDB API, you will find that the
SBFrame method "FindVariable" returns an object of type SBValue. SBValue
objects are used, among other things, to wrap up program variables and values.
There are many useful methods defined in the SBValue class to allow you to get
information or children values out of SBValues. For complete information, see
the header file SBValue.h. The
SBValue methods that we use in our DFS function are
GetChildMemberWithName()
,
GetSummary()
, and GetValue()
.
Explaining Depth First Search Script in Detail
"DFS" Overview. Before diving into the details of this
code, it would be best to give a high-level overview of what it does. The nodes
in our binary search tree were defined to have type tree_node *
,
which is defined as:
typedef struct tree_node
{
const char *word;
struct tree_node *left;
struct tree_node *right;
} tree_node;
Lines 2-11 of DFS are getting data out of the current tree node and getting
ready to do the actual search; lines 12-25 are the actual depth-first search.
Lines 2-4 of our DFS function get the word
, left
and
right
fields out of the current node and store them in Python
variables. Since root_word_ptr
is a pointer to our word, and we
want the actual word, line 5 calls GetSummary()
to get a string
containing the value out of the pointer. Since GetSummary()
adds
quotes around its result, lines 6-11 strip surrounding quotes off the word.
Line 12 checks to see if the word in the current node is the one we are searching for. If so, we are done, and line 13 returns the current path. Otherwise, line 14 checks to see if we should go left (search word comes before the current word). If we decide to go left, line 15 checks to see if the left pointer child is NULL ("None" is the Python equivalent of NULL). If the left pointer is NULL, then the word is not in this tree and we return an empty path (line 16). Otherwise, we add an "L" to the end of our current path string, to indicate we are going left (line 18), and then recurse on the left child (line 19). Lines 20-25 are the same as lines 14-19, except for going right rather than going left.
One other note: Typing something as long as our DFS function directly into the interpreter can be difficult, as making a single typing mistake means having to start all over. Therefore we recommend doing as we have done: Writing your longer, more complicated script functions in a separate file (in this case tree_utils.py) and then importing it into your LLDB Python interpreter.
Seeing the DFS Script in Action
At this point we are ready to use the DFS function to see if the word "Romeo" is in our tree or not. To actually use it in LLDB on our dictionary program, you would do something like this:
% lldb
(lldb) process attach -n "dictionary"
Architecture set to: x86_64.
Process 521 stopped
* thread #1: tid = 0x2c03, 0x00007fff86c8bea0 libSystem.B.dylib`read$NOCANCEL + 8, stop reason = signal SIGSTOP
frame #0: 0x00007fff86c8bea0 libSystem.B.dylib`read$NOCANCEL + 8
(lldb) breakpoint set -n find_word
Breakpoint created: 1: name = 'find_word', locations = 1, resolved = 1
(lldb) continue
Process 521 resuming
Process 521 stopped
* thread #1: tid = 0x2c03, 0x0000000100001830 dictionary`find_word + 16
at dictionary.c:105, stop reason = breakpoint 1.1
frame #0: 0x0000000100001830 dictionary`find_word + 16 at dictionary.c:105
102 int
103 find_word (tree_node *dictionary, char *word)
104 {
-> 105 if (!word || !dictionary)
106 return 0;
107
108 int compare_value = strcmp (word, dictionary->word);
(lldb) script
Python Interactive Interpreter. To exit, type 'quit()', 'exit()' or Ctrl-D.
>>> import tree_utils
>>> root = lldb.frame.FindVariable ("dictionary")
>>> current_path = ""
>>> path = tree_utils.DFS (root, "Romeo", current_path)
>>> print path
LLRRL
>>> ^D
(lldb)
The first bit of code above shows starting lldb, attaching to the dictionary
program, and getting to the find_word function in LLDB. The interesting part
(as far as this example is concerned) begins when we enter the
script
command and drop into the embedded interactive Python
interpreter. We will go over this Python code line by line. The first line
import tree_utils
imports the file where we wrote our DFS function, tree_utils.py, into Python. Notice that to import the file we leave off the ".py" extension. We can now call any function in that file, giving it the prefix "tree_utils.", so that Python knows where to look for the function. The line
root = lldb.frame.FindVariable ("dictionary")
gets our program variable "dictionary" (which contains the binary search tree) and puts it into the Python variable "root". See Accessing & Manipulating Program Variables in Python above for more details about how this works. The next line is
current_path = ""
This line initializes the current_path from the root of the tree to our current node. Since we are starting at the root of the tree, our current path starts as an empty string. As we go right and left through the tree, the DFS function will append an 'R' or an 'L' to the current path, as appropriate. The line
path = tree_utils.DFS (root, "Romeo", current_path)
calls our DFS function (prefixing it with the module name so that Python can
find it). We pass in our binary tree stored in the variable root
,
the word we are searching for, and our current path. We assign whatever path
the DFS function returns to the Python variable path
.
Finally, we want to see if the word was found or not, and if so we want to see the path through the tree to the word. So we do
print path
From this we can see that the word "Romeo" was indeed found in the tree, and the path from the root of the tree to the node containing "Romeo" is left-left-right-right-left.
What next? Using Breakpoint Command Scripts...
We are halfway to figuring out what the problem is. We know the word we are looking for is in the binary tree, and we know exactly where it is in the binary tree. Now we need to figure out why our binary search algorithm is not finding the word. We will do this using breakpoint command scripts.
The idea is as follows. The binary search algorithm has two main decision
points: the decision to follow the right branch; and, the decision to follow
the left branch. We will set a breakpoint at each of these decision points, and
attach a Python breakpoint command script to each breakpoint. The breakpoint
commands will use the global path
Python variable that we got from
our DFS function. Each time one of these decision breakpoints is hit, the script
will compare the actual decision with the decision the front of the
path
variable says should be made (the first character of the
path). If the actual decision and the path agree, then the front character is
stripped off the path, and execution is resumed. In this case the user never
even sees the breakpoint being hit. But if the decision differs from what the
path says it should be, then the script prints out a message and does NOT resume
execution, leaving the user sitting at the first point where a wrong decision is
being made.
Side Note: Python Breakpoint Command Scripts are NOT What They Seem
What do we mean by that? When you enter a Python breakpoint command in LLDB,
it appears that you are entering one or more plain lines of Python. BUT LLDB
then takes what you entered and wraps it into a Python FUNCTION (just like using
the "def" Python command). It automatically gives the function an obscure,
unique, hard-to-stumble-across function name, and gives it two parameters:
frame
and bp_loc
. When the breakpoint gets hit, LLDB
wraps up the frame object where the breakpoint was hit, and the breakpoint
location object for the breakpoint that was hit, and puts them into Python
variables for you. It then calls the Python function that was created for the
breakpoint command, and passes in the frame and breakpoint location objects.
So, being practical, what does this mean for you when you write your Python
breakpoint commands? It means that there are two things you need to keep in
mind: 1. If you want to access any Python variables created outside your script,
you must declare such variables to be global. If you do not
declare them as global, then the Python function will treat them as local
variables, and you will get unexpected behavior. 2. All Python
breakpoint command scripts automatically have a frame
and a
bp_loc
variable. The variables are pre-loaded by LLDB
with the correct context for the breakpoint. You do not have to use these
variables, but they are there if you want them.
The Decision Point Breakpoint Commands
This is what the Python breakpoint command script would look like for the decision to go right:
global path
if path[0] == 'R':
path = path[1:]
thread = frame.GetThread()
process = thread.GetProcess()
process.Continue()
else:
print "Here is the problem; going right, should go left!"
Just as a reminder, LLDB is going to take this script and wrap it up in a function, like this:
def some_unique_and_obscure_function_name (frame, bp_loc):
global path
if path[0] == 'R':
path = path[1:]
thread = frame.GetThread()
process = thread.GetProcess()
process.Continue()
else:
print "Here is the problem; going right, should go left!"
LLDB will call the function, passing in the correct frame and breakpoint
location whenever the breakpoint gets hit. There are several things to notice
about this function. The first one is that we are accessing and updating a
piece of state (the path
variable), and actually conditioning our
behavior based upon this variable. Since the variable was defined outside of
our script (and therefore outside of the corresponding function) we need to tell
Python that we are accessing a global variable. That is what the first line of
the script does. Next we check where the path says we should go and compare it to
our decision (recall that we are at the breakpoint for the decision to go
right). If the path agrees with our decision, then we strip the first character
off of the path.
Since the decision matched the path, we want to resume execution. To do this
we make use of the frame
parameter that LLDB guarantees will be
there for us. We use LLDB API functions to get the current thread from the
current frame, and then to get the process from the thread. Once we have the
process, we tell it to resume execution (using the Continue()
API
function).
If the decision to go right does not agree with the path, then we do not resume execution. We allow the breakpoint to remain stopped (by doing nothing), and we print an informational message telling the user we have found the problem, and what the problem is.
Actually Using the Breakpoint Commands
Now we will look at what happens when we actually use these breakpoint
commands on our program. Doing a source list -n find_word
shows
us the function containing our two decision points. Looking at the code below,
we see that we want to set our breakpoints on lines 113 and 115:
(lldb) source list -n find_word
File: /Volumes/Data/HD2/carolinetice/Desktop/LLDB-Web-Examples/dictionary.c.
101
102 int
103 find_word (tree_node *dictionary, char *word)
104 {
105 if (!word || !dictionary)
106 return 0;
107
108 int compare_value = strcmp (word, dictionary->word);
109
110 if (compare_value == 0)
111 return 1;
112 else if (compare_value < 0)
113 return find_word (dictionary->left, word);
114 else
115 return find_word (dictionary->right, word);
116 }
117
So, we set our breakpoints, enter our breakpoint command scripts, and see what happens:
(lldb) breakpoint set -l 113
Breakpoint created: 2: file ='dictionary.c', line = 113, locations = 1, resolved = 1
(lldb) breakpoint set -l 115
Breakpoint created: 3: file ='dictionary.c', line = 115, locations = 1, resolved = 1
(lldb) breakpoint command add -s python 2
Enter your Python command(s). Type 'DONE' to end.
> global path
> if (path[0] == 'L'):
> path = path[1:]
> thread = frame.GetThread()
> process = thread.GetProcess()
> process.Continue()
> else:
> print "Here is the problem. Going left, should go right!"
> DONE
(lldb) breakpoint command add -s python 3
Enter your Python command(s). Type 'DONE' to end.
> global path
> if (path[0] == 'R'):
> path = path[1:]
> thread = frame.GetThread()
> process = thread.GetProcess()
> process.Continue()
> else:
> print "Here is the problem. Going right, should go left!"
> DONE
(lldb) continue
Process 696 resuming
Here is the problem. Going right, should go left!
Process 696 stopped
* thread #1: tid = 0x2d03, 0x000000010000189f dictionary`find_word + 127 at dictionary.c:115, stop reason = breakpoint 3.1
frame #0: 0x000000010000189f dictionary`find_word + 127 at dictionary.c:115
112 else if (compare_value < 0)
113 return find_word (dictionary->left, word);
114 else
-> 115 return find_word (dictionary->right, word);
116 }
117
118 void
(lldb)
After setting our breakpoints, adding our breakpoint commands and continuing, we run for a little bit and then hit one of our breakpoints, printing out the error message from the breakpoint command. Apparently at this point the the tree, our search algorithm decided to go right, but our path says the node we want is to the left. Examining the word at the node where we stopped, and our search word, we see:
(lldb) expr dictionary->word
(const char *) $1 = 0x0000000100100080 "dramatis"
(lldb) expr word
(char *) $2 = 0x00007fff5fbff108 "romeo"
So the word at our current node is "dramatis", and the word we are searching for is "romeo". "romeo" comes after "dramatis" alphabetically, so it seems like going right would be the correct decision. Let's ask Python what it thinks the path from the current node to our word is:
(lldb) script print path
LLRRL
According to Python we need to go left-left-right-right-left from our current node to find the word we are looking for. Let's double check our tree, and see what word it has at that node:
(lldb) expr dictionary->left->left->right->right->left->word
(const char *) $4 = 0x0000000100100880 "Romeo"
So the word we are searching for is "romeo" and the word at our DFS location is "Romeo". Aha! One is uppercase and the other is lowercase: We seem to have a case conversion problem somewhere in our program (we do).
This is the end of our example on how you might use Python scripting in LLDB to help you find bugs in your program.
Source Files for The Example
The complete code for the Dictionary program (with case-conversion bug), the DFS function and other Python script examples (tree_utils.py) used for this example are available via following file links:
tree_utils.py - Example Python functions using LLDB's API, including DFSdictionary.c - Sample dictionary program, with bug
The text for "Romeo and Juliet" can be obtained from the Gutenberg Project (http://www.gutenberg.org).


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Things You'll Need
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Instructions
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Fort Myers weather forecast and weather conditions. Today's and tonight's Fort Myers weather forecast plus Doppler radar from weather.com.
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Your National Weather Service forecast, NWS logo. Lee County Skip to . Zone Forecast: Lee County, Mobile Weather Information . Fort Myers, Page Field .
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Current conditions, links to satellite imagery, 4-day weather forecast.
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--- layout: post status: publish published: true title: "[奥运]iPod touch上的奥运赛程" author: Leask author_login: leask author_email<EMAIL_ADDRESS>author_url: https://leaskh.com wordpress_id: 180 wordpress_url: http://leaskh.wordpress.com/2009/05/25/%e5%a5%a5%e8%bf%90ipod-touch%e4%b8%8a%e7%9a%84%e5%a5%a5%e8%bf%90%e8%b5%9b%e7%a8%8b date: '2009-05-25 05:43:00 +0800' date_gmt: '2009-05-25 05:43:00 +0800' categories: tags: [] comments: [] ---


Across: 1. Leave casino with dinner money? (4 2 4 5) 9. In local attic Edward finds criss-cross pattern (7) 10. Prisoner may be shot on time (7) 11. Desire is hot in one! (4) 12. Make hole near Dan's companion (5) 13. Girl is unwell after start of journey (4) 16. Left eulogy about winter fuel (4 3) 17. Can bird get to abbey? (7) 18. Does this pull rubbish wagon back? (7) 21. Comments about stains (7) 23. Gifted travellers force one to follow mother (4) 24. Nora holds Penny's kitchen garment (5) 25. Put back "Rime Of The Ancient ... Ruler?" (4) 28. Before the French record first letter (7) 29. German and I are east of second city in the country (7) 30. Tool for Brunel may be old-fashioned (9 6) Down: 1. Played games with cart in rodeo (7 8) 2. Bag guerilla in last skirmish (7) 3. Goddess is reincarnated (4) 4. Ring writer at home with key opportunity (7) 5. Hello, Brian's lead character in way-out show! (7) 6. Keep quiet behind top man's club (4) 7. Think of one leading 23 to Tyneside (7) 8. Good job ringlets are combed before Mass! (8 7) 14. Magic instrument is loud instrument! (5) 15. Coming back, soldiers are surrounded by the old foe (5) 19. Gain rug by haggling (7) 20. Stuffed stormy petrel and eagle initially (7) 21. Figure with new brush accepts award (7) 22. Country backs gold fever (7) 26. Machine gun nest is destroyed! (4) 27. Gershwin takes bike to the country (4)


|
AceTime
2.3.0
Date and time classes for Arduino that support timezones from the TZ Database.
|
A heap manager which is specialized and tuned to manage a collection of Transitions, keeping track of unused, used, and active states, using a fixed array of Transitions. More...
#include <Transition.h>
Public Types | |
| typedef TransitionTemplate< ZEB, ZPB, ZRB > | Transition |
| Template instantiation of TransitionTemplate used by this class. More... | |
| typedef TransitionForSecondsTemplate< ZEB, ZPB, ZRB > | TransitionForSeconds |
| Template instantiation of TransitionForSecondsTemplate used by this class. More... | |
| typedef TransitionForDateTimeTemplate< ZEB, ZPB, ZRB > | TransitionForDateTime |
| Template instantiation of TransitionForDateTimeTemplate used by this class. More... | |
Public Member Functions | |
| TransitionStorageTemplate () | |
| Constructor. | |
| void | init () |
| Initialize all pools to 0 size, usually when a new year is initialized. More... | |
| Transition * | getPrior () |
| Return the current prior transition. | |
| void | resetCandidatePool () |
| Empty the Candidate pool by resetting the various indexes. More... | |
| Transition ** | getCandidatePoolBegin () |
| Transition ** | getCandidatePoolEnd () |
| Transition ** | getActivePoolBegin () |
| Transition ** | getActivePoolEnd () |
| Transition * | getFreeAgent () |
| Return a pointer to the first Transition in the free pool. More... | |
| void | addFreeAgentToActivePool () |
| Immediately add the free agent Transition at index mIndexFree to the Active pool. More... | |
| Transition ** | reservePrior () |
| Allocate a free Transition then add it to the Prior pool. More... | |
| void | setFreeAgentAsPriorIfValid () |
| Set the free agent transition as the most recent prior. | |
| void | addPriorToCandidatePool () |
| Add the current prior into the Candidates pool. More... | |
| void | addFreeAgentToCandidatePool () |
| Add the free agent Transition at index mIndexFree to the Candidate pool, sorted by transitionTime. More... | |
| Transition * | addActiveCandidatesToActivePool () |
| Add active candidates into the Active pool, and collapse the Candidate pool. More... | |
| TransitionForSeconds | findTransitionForSeconds (acetime_t epochSeconds) const |
| Return the Transition matching the given epochSeconds. More... | |
| TransitionForDateTime | findTransitionForDateTime (const LocalDateTime &ldt) const |
| Return the candidate Transitions matching the given dateTime. More... | |
| void | log () const |
| Verify that the indexes are valid. More... | |
| void | resetAllocSize () |
| Reset the current allocation size. More... | |
| uint8_t | getAllocSize () const |
| Return the maximum number of transitions which was allocated. More... | |
Static Public Member Functions | |
| static void | calcFoldAndOverlap (uint8_t *fold, uint8_t *num, const Transition *prev, const Transition *curr, const Transition *next, acetime_t epochSeconds) |
| Calculate the fold and num parameters of TransitionForSecond. | |
A heap manager which is specialized and tuned to manage a collection of Transitions, keeping track of unused, used, and active states, using a fixed array of Transitions.
Its main purpose is to provide some illusion of dynamic memory allocation without actually performing any dynamic memory allocation.
We create a fixed sized array for the total pool, determined by the template parameter SIZE, then manage the various sub-pools of Transition objects. The allocation of the various sub-pools is intricately tied to the precise pattern of creation and release of the various Transition objects within the ExtendedZoneProcessor class.
There are 4 pools indicated by the following half-open (inclusive to exclusive) index ranges:
1) Active pool: [0, mIndexPrior) 2) Prior pool: [mIndexPrior, mIndexCandidates), either 0 or 1 element 3) Candidate pool: [mIndexCandidates, mIndexFree) 4) Free agent pool: [mIndexFree, mAllocSize), 0 or 1 element
At the completion of the ExtendedZoneProcessor::init(LocalDate& ld) method, the Active pool will contain the active Transitions relevant to the 'year' defined by the LocalDate. The Prior and Candidate pools will be empty, with the Free pool taking up the remaining space.
| SIZE | size of internal cache |
| ZEB | type of ZoneEraBroker |
| ZPB | type of ZonePolicyBroker |
| ZRB | type of ZoneRuleBroker |
Definition at line 361 of file Transition.h.
| typedef TransitionTemplate<ZEB, ZPB, ZRB> ace_time::extended::TransitionStorageTemplate< SIZE, ZEB, ZPB, ZRB >::Transition |
Template instantiation of TransitionTemplate used by this class.
This should be treated as a private, it is exposed only for testing purposes.
Definition at line 367 of file Transition.h.
| typedef TransitionForDateTimeTemplate<ZEB, ZPB, ZRB> ace_time::extended::TransitionStorageTemplate< SIZE, ZEB, ZPB, ZRB >::TransitionForDateTime |
Template instantiation of TransitionForDateTimeTemplate used by this class.
This should be treated as a private, it is exposed only for testing purposes.
Definition at line 381 of file Transition.h.
| typedef TransitionForSecondsTemplate<ZEB, ZPB, ZRB> ace_time::extended::TransitionStorageTemplate< SIZE, ZEB, ZPB, ZRB >::TransitionForSeconds |
Template instantiation of TransitionForSecondsTemplate used by this class.
This should be treated as a private, it is exposed only for testing purposes.
Definition at line 374 of file Transition.h.
|
inline |
Add active candidates into the Active pool, and collapse the Candidate pool.
Every MatchingEra will have at least one Transition.
Definition at line 537 of file Transition.h.
|
inline |
Immediately add the free agent Transition at index mIndexFree to the Active pool.
Then increment mIndexFree to consume the free agent from the Free pool. This assumes that the Pending and Candidate pool are empty, which makes the Active pool come immediately before the Free pool.
Definition at line 461 of file Transition.h.
|
inline |
Add the free agent Transition at index mIndexFree to the Candidate pool, sorted by transitionTime.
Then increment mIndexFree by one to remove the free agent from the Free pool. Essentially this is an Insertion Sort keyed by the 'transitionTime' (ignoring the DateTuple.suffix).
Definition at line 511 of file Transition.h.
|
inline |
Add the current prior into the Candidates pool.
Prior is always just before the start of the Candidate pool, so we just need to shift back the start index of the Candidate pool.
Definition at line 501 of file Transition.h.
|
inline |
Return the candidate Transitions matching the given dateTime.
The search may return 0, 1 or 2 Transitions, depending on whether the dateTime falls in a gap or overlap.
Definition at line 669 of file Transition.h.
|
inline |
Return the Transition matching the given epochSeconds.
Return nullptr if no matching Transition found. If a zone does not have any transition according to TZ Database, the AceTimeTools/transformer.py script adds an "anchor" transition at the "beginning of time" which happens to be the year 1872 (because the year is stored as an int8_t). Therefore, this method should never return a nullptr for a well-formed ZoneInfo file.
Definition at line 571 of file Transition.h.
|
inline |
Return the maximum number of transitions which was allocated.
If this is greater than SIZE, it indicates that the Transition mPool overflowed. This method is intended for debugging.
Definition at line 758 of file Transition.h.
|
inline |
Return a pointer to the first Transition in the free pool.
If this transition is not used, then it's ok to just drop it. The next time getFreeAgent() is called, the same Transition will be returned.
Definition at line 438 of file Transition.h.
|
inline |
Initialize all pools to 0 size, usually when a new year is initialized.
The mAllocSize is not reset, so that we can determine the maximum allocation size across multiple years. Call resetAllocSize() manually to reset the mAllocSize.
Definition at line 392 of file Transition.h.
|
inline |
Verify that the indexes are valid.
Used only for debugging.
Definition at line 725 of file Transition.h.
|
inline |
Allocate a free Transition then add it to the Prior pool.
This assumes that the Prior pool and Candidate pool were both empty before calling this method. Shift the Candidate pool and Free pool up by one. Return a handle (pointer to pointer) to the Transition, so that the prior Transition can be swapped with another Transition, while keeping the handle valid.
Definition at line 476 of file Transition.h.
|
inline |
|
inline |
Empty the Candidate pool by resetting the various indexes.
If every iteration of createTransitionsForMatch() finishes with addFreeAgentToActivePool() or addActiveCandidatesToActivePool(), it may be possible to remove this. But it's safer to reset the indexes upon each iteration.
Definition at line 414 of file Transition.h.


GSEA
GSEA Preranked and Leading Edge, developed by the Broad Institute.
Wrangler is a seperate app in MedBook, but all apps share the same data. For example, when you load a file into Wrangler, you will be able to use the data in Patient Care.


A full stack developer is a web developer or engineer who works with both the front and back ends of a website or application - meaning they can tackle projects that involve....
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data.
The Graphic Designing and Web Designing is a career for creative minds and the journey is a life-long one where one always finds a way to think outside the box.
GitHub is a web-based version-control and collaboration platform for software developers. Microsoft, the biggest single contributor to GitHub, initiated an acquisition of GitHub.
The aim of competitive programming is to write source code of computer programs which are able to solve given problems. A vast majority of problems appearing in programming...
Virtual Reality (VR) is the use of computer technology to create a simulated environment. Unlike traditional user interfaces, VR places the user inside an experience.


FontAwesome Official Documentation
The iconic font
The complete set of 634 icons in Font Awesome 4.6.3
License: MIT License. You can use it for commercial projects, open source projects, or really just about whatever you want


Alright
05-Dec-19 07:33 PM
@LabsAssistant comp is pushed back until Sunday
This CFEKPOS1 chain just hard forked to the new algo if you want to start playing with it.
if you need coins, let me know or try to POW mine them
man it's the mean block time of the last 17 blocks
which is always in the past


JUNIOR A film review by Mark R. Leeper Copyright 1994 Mark R. Leeper
Capsule: High concept: Arnold Schwarzenegger is pregnant. In-depth analysis: Arnold Schwarzenegger is pregnant. This gives us a chance to see dramatized all the cliches about pregnancy, but with Arnold as the central figure. This film might have been amusing as a five-minute comedy sketch. Unfortunately, it has another 104 unnecessary minutes. Rating: -1 (-4 to +4)
Ivan Reitman has a spotty background directing comedies. Films like MEATBALLS, TWINS, and GHOSTBUSTERS I and II have had good gags but have been rather thin on story. DAVE seemed to indicate Reitman was starting to get a feel for plotting and characters. It must have been a fluke, however, since he is back to featherweight comedies with under-developed characters in JUNIOR. Once you know that the idea is to show Schwarzenegger going though the same physical changes that pregnant women go through, you can probably think of more amusing scene possibilities than you will actually see in this film.
Dr. Alexander Hesse is an incredibly well-built scientist with an Austrian accent and an aversion to babies. Ironically, he is working on Expectane, a drug to improve the safety of pregnancies. When the FDA decides that the drug needs more testing, Hesse's fast-talking partner Dr. Larry Arbogast (Danny DeVito), thinks that human testing will be more convincing. Arbogast talks Hesse into a surgical implantation of an egg, but only for the first three months. Meanwhile the university has evicted the two scientists from their lab space and has replaced them with Dr. Diana Reddin (Emma Thompson), a winning but rather awkward scientist. Her research unwittingly provides Hesse and Arbogast with some of the materials they need for their experiment, and the first male pregnancy is initiated.
It must have seemed like a comic natural to have the super- masculine Schwarzenegger in a role with cross-gender implications, but it is a real mistake. Gender-crossing films like TOOTSIE and MRS. DOUBTFIRE have been big successes for other stars, but Schwarzenegger simply does not project personality the way that a Dustin Hoffman or a Robin Williams does. And Reitman intentionally tones down Schwarzenegger's personality so that later in the film he can appear to be more "humanized" by the experience. The problem is that it takes all of Schwarzenegger's strength to project any personality at all and later it is hard to work up much interest in the character even in his unusual predicament. In TOOTSIE, look how well- defined a character Hoffman creates even before any of the cross-gender material. Besides, Schwarzenegger already bulges oddly and making him pregnant almost seems redundant. Actually part of the pleasure of such a film would be to see how a man struggles with the fatigue of carrying the additional weight. This makes an Austrian body-builder perhaps less appropriate than many other actors would have been. It is not clear why Danny DeVito is in this film since he is not at all credible as a scientist and his comic potential is all but ignored. It may well be that the film is trying to play off Reitman's previous success in TWINS. Similarly, Frank Langella is around to play a shady university executive in a story that didn't seem to need a villain. But he was good in DAVE so Reitman seems to want to use what has worked before.
It was obviously assumed that the situation would be so funny that the writing seems to have been done on autopilot. This is a film without any well-developed character in anything but the physical sense. It returns again and again to common scenes of pregnancy whose only humor value is that you are seeing a man going through the changes. Once you have seen Arnold complaining that his nipples are getting sensitive and crying at soap operas, is it still supposed to be funny to see him eating pickles and ice cream, or is that really justa variation on the same gag? I picture writers Kevin Wade and Chris Conrad just making a checklist of pregnancy cliches and writing a scene for each. Time and again opportunities for a funnier and more believable script are passed up for cheap gags. At this stage of development the drug would not have been given a suggestive trade name like "Expectane," it would be called something like "Themoxodil." To pick up the pacing, the film throws in slapstick humor, mostly built around Thompson's clumsiness. But the slapstick isn't funny and it sabotages her effort to make her character believable. Her body language is the best thing about this film, but the slapstick is misplaced and even she cannot make it work.
This is a cookie-cutter formula comedy that drags on what might have worked as a short skit far too long. Rate it a -1 on the -4 to +4 scale.
Mark R. Leeper<EMAIL_ADDRESS>.
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